Part of me wonders why we focus our trend and market predictions at the beginning and end of each year, when we all know these changes are fluid, and don\u2019t happen according to a perfect calendar date. But it\u2019s important to constantly evaluate the changes we are seeing, and understand where they will take us next. And in that spirit, I\u2019d like to share three market predictions my team and I believe will come to pass in 2018 and beyond.\n1. Expectations for database systems have expanded beyond relational to include alternative models.\nNon-relational database technology, such as NoSQL and Hadoop, have emerged over the last few years. However, now the expectation is that leading database platforms can provide a wider range of capabilities and address the broader range of use cases and workloads that these non-relational technologies have enabled.\nThis has resulted in a \u201cnew normal\u201d definition of capabilities for a general-purpose database platform, including support of new data types \/ multiple data models, in-memory, data virtualization, support for distributed storage, and extended capabilities such as graph and spatial. Customer are looking for a modern database platform that can natively support these additional workloads and functions.\n2. Real-time analytics on transactional data will see a rise in demand.\nDriven by the need to perform \u201ctransaction window\u201d analytics with a simplified technology architecture, hybrid transactional analytic database systems, enabled by in-memory technology, are seeing increasing adoption.\nIncreasing demand to support operational workloads that incorporate real-time analysis, such as recommendations, targeting, and fraud analysis, are leading to increasing adoption of hybrid transactional analytic database systems. Industry analysts are recognizing this trend; Gartner uses the term \u201chybrid transaction \/ analytical processing (HTAP)\u201d, IDC uses \u201canalytic transactional processing (ATP)\u201d, and Forrester uses \u201ctranslytic data platforms\u201d, for which it recently published a brand-new Wave report. In-memory is a key technological enabler of hybrid transactional analytic databases, which also provides the added benefit of simplicity of architecture \u2013 one system to maintain with no data movement.\nFor a look at which vendors are doing this the best, check out Forrester\u2019s report here.\n3. Information management will evolve to manage disparate siloed data sources.\nCompanies are swimming in a sea of data right now, and to this point it\u2019s been nearly impossible to make sense of it. And with the Internet of Things and additional sources emerging every day, more data means more problems.\nA major challenge is that this data is increasingly becoming constrained by the reality of multiple data lakes and disparate siloed data sources. This is further driven by new data regulations, such as GDPR, which are mandating enterprise-wide data governance.\nA new approach, as part of a modern data architecture, facilitates orchestrating, managing, and creating data flow pipelines, with push-down processing to the data where it resides, for data professionals as well as LoB users.\nPreviously, it was difficult for organizations to address this challenge, which required a build-it-yourself approach combined with piecemeal commercial products. However, new commercial solutions are now emerging to address this opportunity. This isn\u2019t a nice-to-have product \u2013 these days, it\u2019s an absolute necessity.\nWhat do you think? Are we on the right track with these ideas? Do you see trends playing out differently? Please share your thoughts below or Tweet me at @McStravickGreg.